+0.03goals above what the league converts the same chances into
Build-up per 90
0.051% of Nottingham Forest’s build-up value
league 0.24
Chris Wood ranks 96th of 398 qualified players for attacking involvement, shooting from 10.1m on average, with 28% of their danger coming from set pieces. They carry 4% of Nottingham Forest’s attacking involvement, the 10th largest share in the squad.
Against their position
109 forwards
Shooting
per 90
Goals
0.3064th
Non-penalty goals
0.3067th
xG
0.3356th
Non-penalty xG
0.3361st
Shots
2.2754th
npxG per shot
0.1563rd
Shot distance
10.1m100th
Set-piece share
28%69th
Goals against xG
-0.466th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.008th
Expected assists
0.035th
Key passes
0.499th
npxG + xA
0.3634th
xG chain
0.3216th
xG build-up
0.053rd
Assists against xA
-0.355th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
1.416th
Defensive contribution
2.910th
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
0season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2025/26.
Ranked against 109 forwards with half a match a round or more, the same comparison the compare page makes. Where less is better, such as being dispossessed, the order is turned round, so a high percentile is always the good end. Recoveries and defensive contribution come from the FPL feed and are ranked in its own positions.
This week
Gameweek 7
Next fixture
Gameweek 7
vsArsenal
Sun 18 Oct, 15:30 UTC
Arsenal concede 8.3 shots a match and are 0.70× the league norm against forwards. A difficult one.
Projected shots
1.55
2.27 per 90 × 0.68
Projected on target
0.50
0.89 per 90 × 0.57
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
15 appearances
Over 0.511 of 1573%± 11
Over 1.57 of 1547%± 13
Over 2.52 of 1513%± 9
Over 3.51 of 157%± 6
The band is one standard error, the tick the estimate. Blanks count as misses, 4 of 15.
When it mattered1 of 3 goals came with the game level or Nottingham Forest behind.
On the pitch27% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Chris Wood’soutput.
Chances received
who supplies them
Elliot Anderson1.0 xG4 shots, 1g
Morgan Gibbs-White0.5 xG2 shots, 1g
Omari Hutchinson0.4 xG2 shots, 0g
Neco Williams0.4 xG5 shots, 0g
Callum Hudson-Odoi0.3 xG1 shot, 0g
Chances created
who they supply
Morgan Gibbs-White0.3 xG3 shots, 0g
Igor Jesus0.1 xG1 shot, 0g
Oleksandr Zinchenko0.0 xG1 shot, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Chris Wood carries 0.6%of Nottingham Forest’s build-up value.
Build-up per 900.050
3% of forwards
Possession value per 900.322
16% of forwards
Ranked against 109 forwards with a comparable sample. Build-up is the value of possessions a player was involved in, with their own shots and final passes removed, so it credits the work before the chance rather than the chance.
Match by match
Match log
15 appearances, oldest first
over 1.5
2g
v Brentford2 shots 2 on target
at Palace2 shots 0 on target
v West Ham3 shots 1 on target
at Arsenal1 shot 1 on target
at Burnley2 shots 1 on target
v Sunderland6 shots 1 on target
v Villa1 shot 0 on target
v Burnley1 shot 0 on target
1g
at Sunderland2 shots 2 on target
at Man Utd1 shot 0 on target
v Bournemouth2 shots 1 on target
4 blanksno shot not placed
Height is shots, solid is on target, and the dashed rule is the 1.5 line. The feed cannot date an appearance with no shot in it, so 4 sits at the end, counted but unplaced.
How to read the ties. Each rate ties back to the league average: solid where the sample is settled, broken where it is still being shrunk toward the league, an open circle where there is no cohort to rank against.
